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DIGITAL SIGNAL PROCESSING. Introduction. Course information. Course information(C0ntd..). Discrete Time signal. Sequence x[n] as opposed to continuous time signals x(t). Discrete in Nature. Population statistics Stock market indices. Sampled continuos time (analog) signals. Example
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DIGITAL SIGNAL PROCESSING Introduction
Discrete Time signal • Sequence x[n] as opposed to continuous time signals x(t)
Discrete in Nature • Population statistics • Stock market indices
Sampled continuos time (analog) signals • Example • Speech
Speech Processing Original speech High pass Down sample Up sample Low pass
Video Processing General Concept: Object 1 Motion Analysis Object 2 Video Synthesis Applications Analysis
Discrete-Time System y(n)=T{x(n)}
Why DTSP? • Discrete Time Signal Processing of Continuous Signals x (n) y (n) y(t) x (t)
WhyDTSP? Digital Signal Processing (DSP) is derived from DTSP y(n) y(n) x(t) x(n)
DSP COMPONENTS • Converting analog signal into digital sequence. • Performing all signal processing operations in digital in digital form. • If necessary converting the digital information back to analog signal. • A TYPICAL DSP SCHEME Analog Filter ADC DSP Processor DAC Analog Filter
Comparison of Chips POWE R CONSUMP T I ON FLEXIBILITY
Course Outline • DSP: A/D,D/A • System Design and Implementation • Practical computation of F